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44 results on '"Yin, Yufang"'

6. A Novel Distributed Sensor Fusion Algorithm for RSSI-Based Location Estimation Using the Unscented Kalman Filter

Author

Huijie Zhang, Yin Yufang, Wang Qiyu, and Hong Xu

Subjects
Computer science, 020206 networking & telecommunications, 02 engineering and technology, Kalman filter, Sensor fusion, Computer Science Applications, Distributed algorithm, Received signal strength indication, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Wireless sensor network, Algorithm
Abstract

We address the Bayesian sensor fusion approach for distributed location estimation in the wireless sensor network. Assume each sensor transmits local calculation of target position to a fusion center, which then generates under a Bayesian framework the final estimated trajectory. We study received signal strength indication-based approach using the unscented Kalman filter for each sensor to compute local estimation, and propose a novel distributed algorithm which combines the soft outputs sent from selected sensors and computes the approximated Bayesian estimates to the true position. Simulation results demonstrate that the proposed soft combining method can achieve similar tracking performance as the centralized data fusion approach. The computational cost of the proposed algorithm is less than the centralized method especially in large scale sensor networks. In addition, it is straightforward to incorporate the proposed soft combining strategy with other Bayesian filters for the general purpose of data fusion.

Published
2021

18. A natural drug entry channel in the ferritin nanocage

Author

Qian Mi, Xiyun Yan, Xuehui Chen, Long Ma, Guoming Sun, Yili Yang, Bing Jiang, Yiliang Jin, Kelong Fan, Chen Xiangru, and Yin Yufang

Subjects
Drug, biology, Biocompatibility, Chemistry, media_common.quotation_subject, Biomedical Engineering, Pharmaceutical Science, Bioengineering, Iron-binding proteins, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, Small molecule, 0104 chemical sciences, Ferritin, Drug delivery, biology.protein, Biophysics, General Materials Science, Denaturation (biochemistry), 0210 nano-technology, Drug carrier, Biotechnology, media_common
Abstract

Ferritin, a widely expressed iron binding protein, has emerged as a promising drug delivery vehicle due to its unique architecture, intrinsic tumor targeting property, and excellent biocompatibility. However, the translation studies of ferritin drug carrier are impeded by the low efficiency and low yield of the drug loading process, which typically employed Urea and pH dependent dis-assembly/reassembly methods. Here, based on crystal structure and protein mutation analyses, we identified a natural drug entry channel existed on the shell of recombinant human H-ferritin (HFn). Moreover, the opening state of this drug entry channel is sensitive to temperature changes. Based on these findings, we develop a simple channel-based drug loading strategy that avoids the denaturation of HFn protein cage with denaturing agents. Loading doxorubicin (Dox) into the HFn protein cage (HFn-Dox) by the channel-based strategy yields significantly higher drug loading efficiency, increased HFn recovery rate, and better stability than that of the denaturation-based methods. Importantly, animal experiments showed that the channel-loaded HFn-Dox had excellent biosafety and significantly improved antitumor activity when compared with the HFn-Dox prepared by the denaturation-based methods. We also found that the drug entry channel appears unique for HFn protein cage and is accessible to multiple small molecule anticancer drugs. Thus, the drug entry channel of HFn protein cage identified in this study provides a novel and highly effective drug loading approach for preparing HFn-drug formulations, which will greatly facilitate the translational study of ferritin drug carriers in cancer-targeting therapies.

Published
2020

19. A user-adaptive deep machine learning method for handwritten digit recognition

Author

Wang Qiyu, Yingsong Chen, Quan Zhou, Xin Luo, Yin Yufang, Cui Zhouping, and Zhang Huijie

Subjects
ComputingMethodologies_PATTERNRECOGNITION, Computer science, business.industry, Digit recognition, Artificial intelligence, Machine learning, computer.software_genre, business, Convolutional neural network, Classifier (UML), computer
Abstract

The HWR (handwritten recognition) problem gains more attention with the development of machine learning. In this work, a user-adaptive HWR method is purposed for the application when only handwritten digits and few limited characters need to be recognized. Five types of CNN (Convolutional Neural Network) classifier are used in three steps: digits recognition, string-type classifier and string recognition. Experiment results show that the purposed method is capable of HWR for digits and few limited characters.

Published
2018

30. The driving effect of the Euro on inbound tourism: multiperiod DID method.

Author

Xie, Wujie, Li, Haijian, and Yin, Yufang

Abstract

The introduction of the euro has greatly increased the amount of inbound tourists. The paper employs a multiperiod difference-in-differences (DID) model aimed at investigating the impact of the introduction of the euro on inbound tourism in 19 member states of the European Monetary Union (EMU) during 2002–2018. The results show that the euro has a significantly positive impact on international tourist arrivals and international tourism receipts in euro area countries. Moreover, there are also quantile differences in this effect. With increasing quantile levels, the quantile regression coefficients of the euro on international tourist arrivals are increasing, and the quantile regression coefficients of the euro on international tourism receipts are decreasing. Furthermore, the impact of the euro on international arrivals and international tourism receipts has been on the rise as the increase in the number of years of Eurozone accession, but the rate of growth is slowing, and the impact of the euro on inbound tourism has fluctuated with the European debt crisis. These results highlight that although the euro has a positive and significant effect on both international tourist arrivals and international tourism receipts, they are found to have different patterns and trends through the decomposition of quantile regression and segmented regression. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Convection-enhanced delivery of sorafenib and suppression of tumor progression in a murine model of brain melanoma through the inhibition of signal transducer and activator of transcription 3

Author

Zou, Zhaoxia, primary, Yin, Yufang, additional, Lin, Jenny, additional, Hsu, Li-chen J., additional, Brandon, Vanessa L., additional, Yang, Fan, additional, Jove, Richard, additional, Jandial, Rahul, additional, Li, Gang, additional, and Chen, Mike Y., additional

Published
2016
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37. Tissue vulnerability is increased following repetitive mild traumatic brain injury in the rat

Author

Huang, Lei, primary, Coats, Jacqueline S., additional, Mohd-Yusof, Alena, additional, Yin, Yufang, additional, Assaad, Sarah, additional, Muellner, Michael J., additional, Kamper, Joel E., additional, Hartman, Richard E., additional, Dulcich, Melissa, additional, Donovan, Virginia M., additional, Oyoyo, Udo, additional, and Obenaus, André, additional

Published
2013
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